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Predictive Analyst Jobs in Oklahoma (NOW HIRING)

Experience with data science methods related to data architecture, data cleaning, data and feature engineering, and predictive analytics. * Strong background in modeling large scale discrete ...

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Experience with data science methods related to data architecture, data cleaning, data and feature engineering, and predictive analytics. * Strong background in modeling large scale discrete ...

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Predictive Analyst information

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$12

$41

$71

How much do predictive analyst jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for predictive analyst in Oklahoma is $41.24, according to ZipRecruiter salary data. Most workers in this role earn between $27.17 and $52.62 per hour, depending on experience, location, and employer.

What is a predictive analyst?

A Predictive Analyst is a professional who uses data analysis, statistical techniques, and machine learning models to forecast future outcomes and trends for a business or organization. They collect and interpret large sets of data to identify patterns and make predictions that help guide strategic decisions. Predictive Analysts often work with various software tools and collaborate with other departments to improve business performance and anticipate future challenges or opportunities.

What are the key skills and qualifications needed to thrive as a predictive analyst?

To thrive as a Predictive Analyst, you need a strong background in statistics, data analysis, and a relevant degree such as mathematics, computer science, or economics. Proficiency with data analytics tools like Python, R, SQL, and machine learning platforms, as well as familiarity with data visualization software, is typically required. Strong problem-solving abilities, critical thinking, and effective communication skills help you translate complex data findings into actionable business insights. These skills and qualifications are essential for delivering accurate forecasts that drive strategic decision-making and business growth.

How does a predictive analyst typically collaborate with other teams within an organization?

Predictive Analysts often work closely with cross-functional teams such as marketing, product management, and IT. They translate complex data findings into actionable insights for business decision-makers, requiring strong communication skills and the ability to present data visually. Collaboration may involve regular meetings to define project goals, share progress, and refine predictive models based on team feedback. This interdepartmental cooperation ensures that analytics align with overall business strategies and deliver measurable value.

What is the difference between Predictive Analyst vs Data Analyst?

AspectPredictive AnalystData Analyst
Required CredentialsBachelor's in Statistics, Data Science, or related field; often certifications in predictive modelingBachelor's in Data Analysis, Statistics, or related field; certifications in data visualization or analysis tools
Work EnvironmentAnalytical teams, data science departments, often in tech, finance, or healthcareBusiness units, reporting teams, across various industries
Employer & Industry UsageUsed in industries requiring forecasting and predictive modeling, like finance, marketing, healthcareUsed broadly for data reporting, visualization, and descriptive analysis across industries

Predictive Analysts focus on building models to forecast future trends using statistical and machine learning techniques, while Data Analysts primarily interpret existing data to generate reports and insights. Both roles require strong analytical skills, but Predictive Analysts typically have more specialized training in predictive modeling and data science tools.

How do you become a predictive analyst?

To become a predictive analyst, you typically need a bachelor's degree in fields like statistics, mathematics, or data science. Developing skills in programming languages such as Python or R, understanding machine learning techniques, and gaining experience with data analysis tools are essential. Earning certifications in data analytics or machine learning can also enhance job prospects.

What are popular job titles related to Predictive Analyst jobs in Oklahoma?

For Predictive Analyst jobs in Oklahoma, the most frequently searched job titles are:

Infographic showing various Predictive Analyst job openings in Oklahoma as of August 2026, with employment types broken down into 85% Full Time, 9% Part Time, and 6% Contract. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution, with an average salary of $85,773 per year, or $41.2 per hour.

Configuration Analyst III - Product Lifecycle Management

Love's Travel Stops and Country Stores

Oklahoma City, OK • On-site

Full-time

Re-posted 10 days ago


Love's Travel Stops rating

5.9

Company rating: 5.9 out of 10

Based on 799 frontline employees who took The Breakroom Quiz

402nd of 734 rated retailers


Job description

Welcome to Love's! Our IT Supply Chain Distribution Team is seeking a Product Lifecycle Management (PLM) Configuration Analyst III, who will manage the configuration, administration, support, and ongoing enhancement of Love's product lifecycle management system. This role serves as the primary technical and functional expert for the Bamboo Rose PLM platform, Syniti Knowledge Platform, and related product master data and workflow processes.  *Applicants must be legally authorized to work in the United States. We do not provide sponsorship for employment visas now or in the future.*    

The analyst will partner with Merchandising, Supply Chain, Product Management, Procurement, IT, Distribution, and Operations teams to ensure product data, workflows, integrations, and lifecycle processes are accurately configured and maintained across enterprise systems. This position requires a deep understanding of product lifecycle processes from item creation through retirement, including private label products, imported goods, consumables, non-consumables, and other merchandise categories. 

The ideal candidate combines strong technical skills with business process expertise and can translate business requirements into scalable system configurations and process improvements. 

Job Functions:

PLM Administration & Configuration 

  • Administer, configure, and support the Bamboo Rose PLM platform.
  • Configure product workflows, approval processes, business rules, forms, attributes, and system controls.
  • Manage user access, security roles, system settings, and platform governance.
  • Support system upgrades, testing, release management, and deployment activities.
  • Troubleshoot configuration, workflow, and data issues across the PLM ecosystem. 

Product Data & Master Data Management 

  • Administer and support the Syniti Knowledge Platform for product data governance and management.
  • Ensure product master data accuracy, completeness, and consistency across integrated systems.
  • Define and maintain product attributes, hierarchies, classifications, and validation rules.
  • Create and maintain SQL-based data transformation and cleansing rules.
  • Create views, temporary tables, and data preparation logic to support product setup and governance processes
  • Build data quality validations and exception reporting. 

Business Process Analysis 

  • Analyze and document end-to-end product lifecycle processes.
  • Evaluate current-state workflows and identify opportunities for process optimization and automation.
  • Elicit business requirements and translate them into system configurations and technical specifications.
  • Develop process documentation, training materials, and standard operating procedures. 

Integration & Systems Support 

  • Maintain a comprehensive understanding of product-related integrations and data flows.
  • Support product information movement between: 
    • Bamboo Rose PLM
    • Syniti Knowledge Platform
    • ERP platforms
    • Merchandising systems
    • Supply chain systems
    • Transportation and warehouse management systems
    • Vendor and sourcing platforms
    • Reporting and analytics environments 
  • Collaborate with integration teams to identify, troubleshoot, and resolve interface issues.
  • Participate in testing and validation of system enhancements and integrations. 

Production Support & Operational Excellence 

  • Serve as a technical escalation point for PLM application issues and production support activities.
  • Perform root cause analysis and coordinate resolution of system defects and performance concerns.
  • Develop monitoring, alerting, and support procedures to improve platform reliability.
  • Manage incident, problem, and change activities in accordance with established Technology processes.
  • Maintain technical documentation, support procedures, and knowledge articles.
  • Ensure service level objectives and operational support commitments are achieved. 

AI, Automation & Analytics 

  • Evaluate and implement AI-enabled capabilities within PLM technology platforms.
  • Identify opportunities to automate repetitive processes and workflows.
  • Support implementation of machine learning, predictive analytics, and recommendation-based capabilities.
  • Assess emerging AI technologies and vendor capabilities for business applicability.
  • Other duties assigned as needed 

Experience and Qualifications:

  • Bachelor’s Degree in Information Systems, Merchandising, Supply Chain, Retail Management, Business, Computer Science, Engineering, or related field
  • Equivalent combination of education or experience may be considered
  • 5+ years of experience supporting enterprise retail, merchandising, planning, category management, or related business applications.
  • Experience configuring PLM solutions, preferably BambooRose
  • Experience creating SQL-based business rules, data quality controls, and transformation logic within master data management or data governance platforms.
  • Experience supporting cross-functional business processes and system integrations.
  • Experience working across business and technology
  • Experience with AI preferred
  • Must be eligible to work in the US without sponsorship 

 Skills:

  • Hard Skills:  

    • Bamboo Rose PLM configuration, administration, and support 
    • Syniti Knowledge Platform administration and product data management 
    • Workflow configuration, business rules, and process automation  
    • SQL querying, data analysis, and troubleshooting  
    • Product master data governance and data quality management  
    • Systems integration, data mapping, and interface support  
    • Deep understanding of product lifecycle processes for retail/convenience, including private label and imports
  • Soft Skills 
    • Strong analytical and critical thinking abilities 
    • Business process analysis and continuous improvement mindset  
    • Cross-functional collaboration across Merchandising, Supply Chain, Procurement, and IT 
    • Ability to translate business requirements into technical solutions 
    • Strong problem-solving and root cause analysis skills 
    • Effective verbal, written, and stakeholder communication 
    • Strong organization, prioritization, and ownership of results. 

Typical Physical Demands:  

  • Requires prolonged sitting, some bending and stooping
  • Occasional lifting up to 25 pounds
  • Manual dexterity sufficient to operate a computer keyboard and calculator
  • Requires normal range of hearing and vision 

Our Culture: 

Fueling customers' journeys since 1964, innovation leads the way for this family-owned and operated business headquartered in Oklahoma City. With nearly 40,000 team members, travel stops are the core business along with products and services that provide value for professional drivers, fleets, traveling public, RVers, alternative energy and wholesale fuel customers. Giving back to communities and an inclusive workplace are hallmarks of the award-winning culture.

Love's is an Equal Opportunity Employer. Veterans encouraged to apply.


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